{"push_id":1900418585,"size":3,"distinct_size":3,"ref":"refs/heads/master","head":"eb969065daba6c7f7390e67d7919068f8edb76ce","before":"a8d991e7a3fd7160a9eacd4e46ca47755fbad8a3","commits":[{"sha":"2e1e8e1b331ad37ec891ad01306a9cc7ed597e68","author":{"name":"John Kirkham","email":"4f80d7f6884bed5b4eff8086948986c4f7dc5a5e@janelia.hhmi.org"},"message":"Use float64 in median always\n\nSeems SciPy's `median` always uses `float64`. So we switch over as well.","distinct":true,"url":"https://api.github.com/repos/dask-image/dask-ndmeasure/commits/2e1e8e1b331ad37ec891ad01306a9cc7ed597e68"},{"sha":"b5b606ce68410cb6cd6234315f78b78a81c02a59","author":{"name":"John Kirkham","email":"4f80d7f6884bed5b4eff8086948986c4f7dc5a5e@janelia.hhmi.org"},"message":"Return nan for unknown values with median\n\nThis is more consistent with `median` normally behaves in NumPy. Doing\nthis even though SciPy is a bit inconsistent when it comes to return a\nvalue for a missing label.","distinct":true,"url":"https://api.github.com/repos/dask-image/dask-ndmeasure/commits/b5b606ce68410cb6cd6234315f78b78a81c02a59"},{"sha":"eb969065daba6c7f7390e67d7919068f8edb76ce","author":{"name":"jakirkham","email":"a65f82840b865057a74adf67d85c39540fb3eecd@gmail.com"},"message":"Merge pull request #54 from jakirkham/fix_median\n\nUse float64 in median always","distinct":true,"url":"https://api.github.com/repos/dask-image/dask-ndmeasure/commits/eb969065daba6c7f7390e67d7919068f8edb76ce"}]}
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